Senior Machine Learning Engineer
Job Description
Principal Machine Learning Engineer – Multimodal AI / Spatial Computing
Grapevine, TX (Local Candidates Only)
Hybrid: 3 Days Onsite
Full-Time / Direct Hire
U.S. Citizenship Required (Federal Contract)
Join a fast-growing SaaS company transforming how people learn to assemble, install, and repair the physical world.
Our platform delivers 3D Intelligent Instructions® used by hundreds of global brands—combining interactive, touch-based experiences with cutting-edge technology. With 175% growth and recognition by Dallas 100 & Inc. 5000, we are redefining training through AI + spatial computing.
About the Role
We’re looking for a Principal Machine Learning Engineer to serve as a foundational technical leader on our AI team.
This is not a traditional ML role. You’ll be working at the frontier of multimodal AI, solving open-ended problems that combine language, vision, and spatial reasoning—with no established playbooks.
What You’ll Do
- Lead architecture and technical direction for the AI platform
- Design and build novel ML systems for multimodal understanding and generation
- Work across LLMs, vision models, and spatial reasoning systems
- Develop training pipelines, evaluation frameworks, and model-serving infrastructure
- Extend and adapt foundation models to a unique 3D instructional dataset
- Tackle research-oriented challenges from concept → production
- Mentor engineers and raise the bar for engineering excellence
- Partner with AI leadership and executive team on strategy
What We’re Looking For
- 8+ years in machine learning with production systems experience
- Deep expertise in PyTorch (preferred) or similar frameworks
- Strong experience with LLMs, multimodal models, or deep learning architectures
- Ability to read research papers and translate ideas into working systems
- Strong software engineering skills (clean, scalable, production-ready code)
- Comfortable working in ambiguous, research-heavy environments
- Proven ability to lead complex technical initiatives
- U.S. Citizenship is REQUIRED — due to a federal government contract (no visas, transfers, or sponsorship)
Preferred Experience
- Vision-Language Models, multimodal architectures, or embodied AI
- 3D understanding, CAD, spatial computing, or geometric deep learning
- Model optimization, inference performance, and large-scale deployment
- Publications, open-source contributions, or research impact
- Startup or high-growth environment experience
Why This Role Is Exciting
- Work at the intersection of AI, 3D, and real-world problem solving
- Build systems that don’t yet have industry playbooks
- Shape the technical direction of a high-growth AI team
- Leverage a unique proprietary dataset for multimodal learning
- High visibility, high impact, and true ownership
- Collaborate directly with executive leadership